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Paper Citation Record · LEDGER

Aggregated Contextual Transformations for High-Resolution Image Inpainting

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.01431.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2104.01431 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T08:31:24.549747Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T08:32:11.560777Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 66feb5bf-d886-4144-8c8d-d79566358ffa · inbound

PrefPaint: Enhancing Medical Image Inpainting through Expert Human Feedback cites this paper.

PrefPaint: Enhancing Medical Image Inpainting through Expert Human Feedback Aggregated Contextual Transformations for High-Resolution Image Inpainting

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:32:11.565281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T08:31:24.549747Z digest=sha256:afea6af8c82e3d2392a8f00602988445f9e7ad9a28929e0350258ebb892eda3d

Observation f1c8c669-9605-438f-a4d4-e9f3d8b709a5 · inbound

Exploring Clustering Capability of Inpainting Model Embeddings for Pattern-based Individual Identification cites this paper.

Exploring Clustering Capability of Inpainting Model Embeddings for Pattern-based Individual Identification Aggregated Contextual Transformations for High-Resolution Image Inpainting

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:10.209058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T16:23:35.325453Z digest=sha256:0a8f32732446b78961d68fa3e89361f65c844bb651c9636b3bc77867a69e9e13